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New book details principles of robot autonomy for real-world deployment

A new book titled "Principles of Robot Autonomy" has been published, offering a unified introduction to the methods that enable robots to operate in real-world environments. Authored by Daniele Gammelli and drawing on decades of teaching at Stanford University, the text bridges classical robotics with modern physical AI. It includes hands-on Jupyter notebooks and exercises to build practical intuition alongside theoretical understanding, serving as a foundation for designing and analyzing autonomous systems. AI

IMPACT Provides a foundational understanding of robot autonomy, bridging classical robotics with modern physical AI for practical applications.

RANK_REASON The item is a published academic paper (book) on a specific research topic. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New book details principles of robot autonomy for real-world deployment

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Daniele Gammelli, Joseph Lorenzetti, Katie Luo, Gioele Zardini, Marco Pavone ·

    Principles of Robot Autonomy

    arXiv:2608.03496v1 Announce Type: cross Abstract: Autonomous robots are moving rapidly from research labs into everyday life - on roads, in the air, in warehouses, and in space. Robot autonomy is no longer solely an academic pursuit, but a collection of mature, field-tested metho…